SOURCE-LINKED INTELLIGENCE
Probing (Orphan) Nuclear Receptors in Neurodegeneration
rs as a new and groundbreaking strategy to counteract neurodegeneration. To meet its overall aim, NeuRoPROBE will (1) develop chemical probes (CP) and PROTACs for TLX and Nurr1, (2) employ generative artificial intelligence (AI) for molecular design to accelerate CP and PROTAC development, (3) establish phenotypic cellular models in 3D settings to mimic neurodegeneration, and (4) use CPs and PROTACs in the phenotypic models for pharmacological control of TLX and Nurr1 to validate their modulation in neurodegeneration. This challenging and highly multidisciplinary endeavor will profit from my strong interdisciplinary background in the field of NR ligand discovery and pharmacology as well as in AI-based molecular design. NeuRoPROBE will open new avenues towards regenerative treatments in neurodegeneration, close the gaps in pharmacological control of TLX and Nurr1, and substantially contribute to consolidating AI techniques for structural optimization. chemical probes, PROteolysis TArgeting Chimeras (PROTACs), nuclear receptor, transcription factor, target validation, artificial intell
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- recordType
- award
- status
- SIGNED
- region
- EU
- value
- 1498813
- unit
- EUR
Evidence & attribution
European Commission, CORDIS Horizon Europe project dataset. Metadata adapted.
License: CORDIS reuse policy
First collected: 2026-09-20T00:21:03.701Z. This is not the publication date.